Meta-analysis of genes [DRAFT]
MA_20211008_ALL
library(dplyr)
library(knitr)
load("MA_20211008_ALL.RData")Significant results
kable(sig.genes.df[,1:11], caption='Statistics of 118 significant genes')| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| CNDP2 | 0.046 | 0.070 | 0.093 | 0.000 | 0.609 | 0.738 | 0.012 | 0 | 0.000 | 1.000 | 0.000 |
| COMMD2 | 0.087 | 0.129 | 0.171 | 0.000 | 1.970 | 0.374 | 0.021 | 0 | 0.000 | 1.000 | 0.000 |
| UBIAD1 | 0.038 | 0.058 | 0.078 | 0.000 | 1.029 | 0.794 | 0.010 | 0 | 0.000 | 1.000 | 0.000 |
| PFKP | -0.140 | -0.100 | -0.060 | 0.000 | 0.113 | 0.945 | 0.020 | 0 | 0.000 | 1.000 | 0.001 |
| SHD | -0.211 | -0.151 | -0.091 | 0.000 | 0.856 | 0.652 | 0.031 | 0 | 0.000 | 1.000 | 0.001 |
| TMCC1 | -0.122 | -0.088 | -0.054 | 0.000 | 2.366 | 0.500 | 0.017 | 0 | 0.000 | 1.000 | 0.001 |
| KIAA0513 | -0.117 | -0.083 | -0.049 | 0.000 | 2.608 | 0.456 | 0.017 | 0 | 0.000 | 1.000 | 0.002 |
| LOC91561 | 0.024 | 0.042 | 0.059 | 0.000 | 0.573 | 0.751 | 0.009 | 0 | 0.000 | 1.000 | 0.002 |
| NOMO1 | -0.125 | -0.089 | -0.052 | 0.000 | 0.776 | 0.678 | 0.019 | 0 | 0.000 | 1.000 | 0.002 |
| FH | -0.079 | -0.055 | -0.031 | 0.000 | 2.520 | 0.472 | 0.012 | 0 | 0.000 | 1.000 | 0.004 |
| LOC400566 | -0.183 | -0.128 | -0.073 | 0.000 | 0.974 | 0.614 | 0.028 | 0 | 0.000 | 1.000 | 0.004 |
| SLC29A1 | -0.172 | -0.120 | -0.068 | 0.000 | 0.850 | 0.837 | 0.026 | 0 | 0.000 | 1.000 | 0.004 |
| TMED1 | 0.033 | 0.057 | 0.082 | 0.000 | 0.861 | 0.650 | 0.012 | 0 | 0.000 | 1.000 | 0.004 |
| FLJ13305 | 0.046 | 0.082 | 0.119 | 0.000 | 0.662 | 0.718 | 0.019 | 0 | 0.000 | 1.000 | 0.005 |
| PEA15 | 0.027 | 0.048 | 0.069 | 0.000 | 0.209 | 0.976 | 0.011 | 0 | 0.000 | 1.000 | 0.005 |
| SPARCL1 | -0.049 | -0.034 | -0.019 | 0.000 | 2.405 | 0.493 | 0.008 | 0 | 0.000 | 1.000 | 0.005 |
| TMEM25 | -0.333 | -0.231 | -0.129 | 0.000 | 0.109 | 0.991 | 0.052 | 0 | 0.000 | 1.000 | 0.005 |
| TSPAN14 | 0.045 | 0.081 | 0.117 | 0.000 | 1.355 | 0.716 | 0.018 | 0 | 0.000 | 1.000 | 0.005 |
| ZFR | 0.029 | 0.052 | 0.074 | 0.000 | 2.312 | 0.510 | 0.012 | 0 | 0.000 | 1.000 | 0.005 |
| RPL23AP7 | 0.046 | 0.083 | 0.120 | 0.000 | 1.037 | 0.595 | 0.019 | 0 | 0.000 | 1.000 | 0.006 |
| PIB5PA | -0.151 | -0.104 | -0.057 | 0.000 | 0.345 | 0.841 | 0.024 | 0 | 0.000 | 1.000 | 0.007 |
| TCEA3 | 0.078 | 0.143 | 0.208 | 0.000 | 0.932 | 0.818 | 0.033 | 0 | 0.000 | 1.000 | 0.008 |
| DFFA | 0.059 | 0.109 | 0.160 | 0.000 | 1.707 | 0.635 | 0.026 | 0 | 0.000 | 1.000 | 0.009 |
| TSPAN33 | 0.045 | 0.084 | 0.122 | 0.000 | 1.968 | 0.579 | 0.020 | 0 | 0.000 | 1.000 | 0.009 |
| BSCL2 | -0.064 | -0.043 | -0.023 | 0.000 | 0.443 | 0.931 | 0.010 | 0 | 0.000 | 1.000 | 0.011 |
| CIRH1A | -0.095 | -0.065 | -0.034 | 0.000 | 1.259 | 0.533 | 0.015 | 0 | 0.000 | 1.000 | 0.011 |
| CPLX1 | -0.150 | -0.102 | -0.054 | 0.000 | 0.982 | 0.612 | 0.025 | 0 | 0.000 | 1.000 | 0.012 |
| CTGF | -0.300 | -0.204 | -0.108 | 0.000 | 0.460 | 0.795 | 0.049 | 0 | 0.000 | 1.000 | 0.012 |
| ISOC2 | 0.038 | 0.073 | 0.108 | 0.000 | 0.617 | 0.735 | 0.018 | 0 | 0.000 | 1.000 | 0.013 |
| PGBD1 | -0.097 | -0.066 | -0.034 | 0.000 | 2.908 | 0.406 | 0.016 | 0 | 0.000 | 1.000 | 0.013 |
| PHKG2 | -0.084 | -0.057 | -0.030 | 0.000 | 2.833 | 0.418 | 0.014 | 0 | 0.000 | 1.000 | 0.013 |
| RYBP | 0.055 | 0.105 | 0.155 | 0.000 | 0.627 | 0.890 | 0.026 | 0 | 0.000 | 1.000 | 0.013 |
| SERTAD4 | -0.226 | -0.153 | -0.080 | 0.000 | 0.296 | 0.961 | 0.037 | 0 | 0.000 | 1.000 | 0.013 |
| USP46 | 0.032 | 0.062 | 0.092 | 0.000 | 0.589 | 0.745 | 0.015 | 0 | 0.000 | 1.000 | 0.013 |
| CENTG2 | 0.024 | 0.047 | 0.070 | 0.000 | 0.102 | 0.950 | 0.012 | 0 | 0.000 | 1.000 | 0.014 |
| DENND2A | 0.046 | 0.089 | 0.132 | 0.000 | 2.359 | 0.501 | 0.022 | 0 | 0.000 | 1.000 | 0.014 |
| PELI3 | -0.117 | -0.079 | -0.040 | 0.000 | 1.902 | 0.593 | 0.019 | 0 | 0.000 | 1.000 | 0.014 |
| ZNF179 | -0.106 | -0.071 | -0.037 | 0.000 | 0.266 | 0.875 | 0.018 | 0 | 0.000 | 1.000 | 0.014 |
| ACTR1B | -0.113 | -0.076 | -0.039 | 0.000 | 0.875 | 0.831 | 0.019 | 0 | 0.000 | 1.000 | 0.015 |
| VHL | 0.037 | 0.072 | 0.107 | 0.000 | 0.757 | 0.860 | 0.018 | 0 | 0.000 | 1.000 | 0.015 |
| IQSEC1 | -0.092 | -0.062 | -0.031 | 0.000 | 1.981 | 0.576 | 0.016 | 0 | 0.000 | 1.000 | 0.016 |
| KLC2 | -0.124 | -0.083 | -0.042 | 0.000 | 1.964 | 0.580 | 0.021 | 0 | 0.000 | 1.000 | 0.016 |
| PRC1 | -0.127 | -0.085 | -0.043 | 0.000 | 2.442 | 0.486 | 0.022 | 0 | 0.000 | 1.000 | 0.016 |
| PUS7 | -0.096 | -0.064 | -0.033 | 0.000 | 0.332 | 0.954 | 0.016 | 0 | 0.000 | 1.000 | 0.016 |
| RNMT | -0.073 | -0.049 | -0.025 | 0.000 | 0.599 | 0.741 | 0.012 | 0 | 0.000 | 1.000 | 0.016 |
| COQ10A | -0.085 | -0.057 | -0.029 | 0.000 | 0.898 | 0.638 | 0.014 | 0 | 0.000 | 1.000 | 0.017 |
| MGC2747 | 0.023 | 0.046 | 0.069 | 0.000 | 1.252 | 0.535 | 0.012 | 0 | 0.000 | 1.000 | 0.017 |
| C1orf171 | 0.068 | 0.137 | 0.206 | 0.000 | 0.166 | 0.920 | 0.035 | 0 | 0.000 | 1.000 | 0.018 |
| C6orf136 | -0.075 | -0.050 | -0.025 | 0.000 | 0.567 | 0.753 | 0.013 | 0 | 0.000 | 1.000 | 0.018 |
| Kua | 0.033 | 0.066 | 0.099 | 0.000 | 0.491 | 0.782 | 0.017 | 0 | 0.000 | 1.000 | 0.018 |
| RPL31 | 0.028 | 0.057 | 0.086 | 0.000 | 0.591 | 0.899 | 0.015 | 0 | 0.000 | 1.000 | 0.018 |
| SLA | 0.041 | 0.082 | 0.123 | 0.000 | 0.614 | 0.893 | 0.021 | 0 | 0.000 | 1.000 | 0.018 |
| ZNF271 | 0.026 | 0.052 | 0.078 | 0.000 | 0.811 | 0.666 | 0.013 | 0 | 0.000 | 1.000 | 0.018 |
| AIFM1 | -0.078 | -0.052 | -0.025 | 0.000 | 1.076 | 0.783 | 0.014 | 0 | 0.000 | 1.000 | 0.021 |
| CNTNAP1 | -0.110 | -0.073 | -0.036 | 0.000 | 0.065 | 0.968 | 0.019 | 0 | 0.000 | 1.000 | 0.021 |
| NDEL1 | -0.104 | -0.069 | -0.034 | 0.000 | 1.986 | 0.575 | 0.018 | 0 | 0.000 | 1.000 | 0.021 |
| PTD004 | -0.197 | -0.130 | -0.064 | 0.000 | 1.935 | 0.380 | 0.034 | 0 | 0.000 | 1.000 | 0.021 |
| SLC20A1 | -0.126 | -0.083 | -0.041 | 0.000 | 1.030 | 0.794 | 0.022 | 0 | 0.000 | 1.000 | 0.021 |
| XRCC1 | -0.089 | -0.059 | -0.029 | 0.000 | 0.452 | 0.929 | 0.015 | 0 | 0.000 | 1.000 | 0.021 |
| CABP1 | -0.166 | -0.110 | -0.053 | 0.000 | 0.287 | 0.962 | 0.029 | 0 | 0.000 | 1.000 | 0.022 |
| CGI-115 | 0.032 | 0.067 | 0.101 | 0.000 | 0.241 | 0.887 | 0.018 | 0 | 0.000 | 1.000 | 0.022 |
| HIST2H2BE | 0.058 | 0.120 | 0.182 | 0.000 | 0.502 | 0.778 | 0.032 | 0 | 0.000 | 1.000 | 0.022 |
| PHF16 | 0.036 | 0.074 | 0.112 | 0.000 | 0.292 | 0.864 | 0.019 | 0 | 0.000 | 1.000 | 0.022 |
| PPME1 | -0.096 | -0.063 | -0.030 | 0.000 | 1.020 | 0.796 | 0.017 | 0 | 0.000 | 1.000 | 0.024 |
| SLC25A27 | -0.180 | -0.118 | -0.057 | 0.000 | 1.252 | 0.741 | 0.031 | 0 | 0.000 | 1.000 | 0.024 |
| AGPAT7 | -0.150 | -0.099 | -0.047 | 0.000 | 0.330 | 0.848 | 0.026 | 0 | 0.000 | 1.000 | 0.025 |
| IDH3A | -0.106 | -0.070 | -0.033 | 0.000 | 0.902 | 0.825 | 0.019 | 0 | 0.000 | 1.000 | 0.025 |
| IDH3G | -0.086 | -0.057 | -0.027 | 0.000 | 1.429 | 0.699 | 0.015 | 0 | 0.000 | 1.000 | 0.025 |
| NAG6 | -0.104 | -0.068 | -0.033 | 0.000 | 1.431 | 0.489 | 0.018 | 0 | 0.000 | 1.000 | 0.025 |
| OGDHL | -0.113 | -0.074 | -0.035 | 0.000 | 0.247 | 0.884 | 0.020 | 0 | 0.000 | 1.000 | 0.025 |
| SC5DL | -0.107 | -0.071 | -0.034 | 0.000 | 1.262 | 0.532 | 0.019 | 0 | 0.000 | 1.000 | 0.025 |
| SLC6A17 | -0.133 | -0.087 | -0.041 | 0.000 | 1.660 | 0.646 | 0.023 | 0 | 0.000 | 1.000 | 0.026 |
| C5orf21 | 0.019 | 0.040 | 0.061 | 0.000 | 0.610 | 0.737 | 0.011 | 0 | 0.000 | 1.000 | 0.028 |
| CFDP1 | 0.027 | 0.058 | 0.089 | 0.000 | 0.527 | 0.913 | 0.016 | 0 | 0.000 | 1.000 | 0.028 |
| DSCR1L1 | -0.115 | -0.075 | -0.035 | 0.000 | 1.488 | 0.475 | 0.020 | 0 | 0.000 | 1.000 | 0.028 |
| ZNF331 | -0.090 | -0.059 | -0.027 | 0.000 | 3.219 | 0.359 | 0.016 | 0 | 6.792 | 1.073 | 0.028 |
| NDUFB8 | -0.041 | -0.027 | -0.012 | 0.000 | 1.765 | 0.623 | 0.007 | 0 | 0.000 | 1.000 | 0.030 |
| PKNOX2 | -0.092 | -0.060 | -0.028 | 0.000 | 1.465 | 0.690 | 0.016 | 0 | 0.000 | 1.000 | 0.030 |
| PLXDC2 | 0.055 | 0.118 | 0.180 | 0.000 | 1.661 | 0.436 | 0.032 | 0 | 0.000 | 1.000 | 0.030 |
| SCAMP5 | -0.082 | -0.053 | -0.025 | 0.000 | 1.113 | 0.774 | 0.015 | 0 | 0.000 | 1.000 | 0.030 |
| SLC25A29 | 0.041 | 0.089 | 0.136 | 0.000 | 1.234 | 0.539 | 0.024 | 0 | 0.000 | 1.000 | 0.030 |
| C3orf39 | -0.093 | -0.061 | -0.028 | 0.000 | 0.110 | 0.946 | 0.017 | 0 | 0.000 | 1.000 | 0.031 |
| C5orf16 | -0.220 | -0.143 | -0.066 | 0.000 | 1.505 | 0.471 | 0.039 | 0 | 0.000 | 1.000 | 0.031 |
| CALR | 0.031 | 0.068 | 0.104 | 0.000 | 1.006 | 0.800 | 0.019 | 0 | 0.000 | 1.000 | 0.031 |
| FAM51A1 | 0.026 | 0.057 | 0.089 | 0.000 | 1.942 | 0.379 | 0.016 | 0 | 0.000 | 1.000 | 0.031 |
| MGC33692 | -0.079 | -0.052 | -0.024 | 0.000 | 0.059 | 0.971 | 0.014 | 0 | 0.000 | 1.000 | 0.031 |
| NAP1L5 | -0.176 | -0.114 | -0.053 | 0.000 | 1.199 | 0.753 | 0.031 | 0 | 0.000 | 1.000 | 0.031 |
| DHDDS | -0.092 | -0.059 | -0.027 | 0.000 | 1.654 | 0.647 | 0.016 | 0 | 0.000 | 1.000 | 0.032 |
| FLJ22318 | -0.097 | -0.063 | -0.029 | 0.000 | 2.651 | 0.266 | 0.017 | 0 | 24.566 | 1.326 | 0.032 |
| GALE | -0.077 | -0.050 | -0.023 | 0.000 | 1.647 | 0.649 | 0.014 | 0 | 0.000 | 1.000 | 0.032 |
| HIST1H2BD | 0.032 | 0.069 | 0.107 | 0.000 | 0.910 | 0.634 | 0.019 | 0 | 0.000 | 1.000 | 0.032 |
| SENP2 | -0.074 | -0.048 | -0.022 | 0.000 | 0.552 | 0.907 | 0.013 | 0 | 0.000 | 1.000 | 0.032 |
| CPLX2 | -0.207 | -0.134 | -0.061 | 0.000 | 0.509 | 0.917 | 0.037 | 0 | 0.000 | 1.000 | 0.033 |
| CTBP1 | -0.072 | -0.047 | -0.021 | 0.000 | 2.751 | 0.432 | 0.013 | 0 | 0.000 | 1.000 | 0.033 |
| CYP2E1 | -0.184 | -0.119 | -0.054 | 0.000 | 0.179 | 0.981 | 0.033 | 0 | 0.000 | 1.000 | 0.033 |
| ENTPD6 | -0.105 | -0.068 | -0.031 | 0.000 | 0.179 | 0.981 | 0.019 | 0 | 0.000 | 1.000 | 0.033 |
| PSMD2 | -0.060 | -0.039 | -0.018 | 0.000 | 0.849 | 0.838 | 0.011 | 0 | 0.000 | 1.000 | 0.033 |
| WDR40A | 0.029 | 0.065 | 0.101 | 0.000 | 0.649 | 0.723 | 0.018 | 0 | 0.000 | 1.000 | 0.034 |
| CAMK2G | -0.117 | -0.076 | -0.034 | 0.000 | 1.513 | 0.469 | 0.021 | 0 | 0.000 | 1.000 | 0.035 |
| CCBL2 | -0.228 | -0.147 | -0.066 | 0.000 | 1.418 | 0.492 | 0.041 | 0 | 0.000 | 1.000 | 0.035 |
| PREX1 | 0.043 | 0.095 | 0.148 | 0.000 | 0.850 | 0.838 | 0.027 | 0 | 0.000 | 1.000 | 0.035 |
| ANKRD32 | 0.061 | 0.136 | 0.212 | 0.000 | 0.350 | 0.840 | 0.039 | 0 | 0.000 | 1.000 | 0.039 |
| SLC25A3 | -0.051 | -0.033 | -0.015 | 0.000 | 0.357 | 0.949 | 0.009 | 0 | 0.000 | 1.000 | 0.039 |
| C9orf45 | -0.113 | -0.072 | -0.032 | 0.000 | 0.336 | 0.845 | 0.021 | 0 | 0.000 | 1.000 | 0.040 |
| AHI1 | -0.113 | -0.073 | -0.032 | 0.000 | 0.079 | 0.961 | 0.021 | 0 | 0.000 | 1.000 | 0.041 |
| PNMA6A | -0.104 | -0.066 | -0.029 | 0.000 | 2.525 | 0.471 | 0.019 | 0 | 0.000 | 1.000 | 0.041 |
| CCT4 | 0.020 | 0.045 | 0.071 | 0.001 | 1.129 | 0.770 | 0.013 | 0 | 0.000 | 1.000 | 0.045 |
| ETS2 | -0.152 | -0.097 | -0.042 | 0.001 | 0.227 | 0.973 | 0.028 | 0 | 0.000 | 1.000 | 0.045 |
| HEBP1 | 0.023 | 0.052 | 0.082 | 0.001 | 2.714 | 0.257 | 0.015 | 0 | 26.311 | 1.357 | 0.045 |
| HIST1H2BK | 0.045 | 0.104 | 0.163 | 0.001 | 1.103 | 0.576 | 0.030 | 0 | 0.000 | 1.000 | 0.045 |
| NPAS3 | 0.040 | 0.093 | 0.145 | 0.001 | 1.353 | 0.508 | 0.027 | 0 | 0.000 | 1.000 | 0.045 |
| PIGV | 0.026 | 0.060 | 0.094 | 0.001 | 2.134 | 0.344 | 0.017 | 0 | 6.279 | 1.067 | 0.045 |
| SOX4 | 0.037 | 0.085 | 0.134 | 0.001 | 0.207 | 0.976 | 0.025 | 0 | 0.000 | 1.000 | 0.045 |
| TARBP1 | -0.156 | -0.100 | -0.043 | 0.001 | 0.354 | 0.950 | 0.029 | 0 | 0.000 | 1.000 | 0.045 |
| AARSD1 | -0.066 | -0.042 | -0.018 | 0.001 | 1.440 | 0.487 | 0.012 | 0 | 0.000 | 1.000 | 0.046 |
| GANAB | 0.029 | 0.067 | 0.105 | 0.001 | 0.470 | 0.926 | 0.019 | 0 | 0.000 | 1.000 | 0.046 |
| PSMF1 | 0.020 | 0.047 | 0.074 | 0.001 | 1.750 | 0.417 | 0.014 | 0 | 0.000 | 1.000 | 0.046 |
| DPP8 | -0.093 | -0.059 | -0.026 | 0.001 | 2.161 | 0.339 | 0.017 | 0 | 7.455 | 1.081 | 0.048 |
CNDP2
Statistics of CNDP2 meta-analisys
kable(sig.genes.df['CNDP2',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| CNDP2 | 0.046 | 0.07 | 0.093 | 0 | 0.609 | 0.738 | 0.012 | 0 | 0 | 1 | 0 |
Forest plot
knitr::include_graphics("plots/CNDP2_FOREST.png")
Funnel plot
knitr::include_graphics("plots/CNDP2_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/CNDP2_INFLUENCE.png")
COMMD2
Statistics of COMMD2 meta-analisys
kable(sig.genes.df['COMMD2',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| COMMD2 | 0.087 | 0.129 | 0.171 | 0 | 1.97 | 0.374 | 0.021 | 0 | 0 | 1 | 0 |
Forest plot
knitr::include_graphics("plots/COMMD2_FOREST.png")
Funnel plot
knitr::include_graphics("plots/COMMD2_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/COMMD2_INFLUENCE.png")
UBIAD1
Statistics of UBIAD1 meta-analisys
kable(sig.genes.df['UBIAD1',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| UBIAD1 | 0.038 | 0.058 | 0.078 | 0 | 1.029 | 0.794 | 0.01 | 0 | 0 | 1 | 0 |
Forest plot
knitr::include_graphics("plots/UBIAD1_FOREST.png")
Funnel plot
knitr::include_graphics("plots/UBIAD1_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/UBIAD1_INFLUENCE.png")
PFKP
Statistics of PFKP meta-analisys
kable(sig.genes.df['PFKP',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| PFKP | -0.14 | -0.1 | -0.06 | 0 | 0.113 | 0.945 | 0.02 | 0 | 0 | 1 | 0.001 |
Forest plot
knitr::include_graphics("plots/PFKP_FOREST.png")
Funnel plot
knitr::include_graphics("plots/PFKP_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/PFKP_INFLUENCE.png")
SHD
Statistics of SHD meta-analisys
kable(sig.genes.df['SHD',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| SHD | -0.211 | -0.151 | -0.091 | 0 | 0.856 | 0.652 | 0.031 | 0 | 0 | 1 | 0.001 |
Forest plot
knitr::include_graphics("plots/SHD_FOREST.png")
Funnel plot
knitr::include_graphics("plots/SHD_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/SHD_INFLUENCE.png")
TMCC1
Statistics of TMCC1 meta-analisys
kable(sig.genes.df['TMCC1',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| TMCC1 | -0.122 | -0.088 | -0.054 | 0 | 2.366 | 0.5 | 0.017 | 0 | 0 | 1 | 0.001 |
Forest plot
knitr::include_graphics("plots/TMCC1_FOREST.png")
Funnel plot
knitr::include_graphics("plots/TMCC1_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/TMCC1_INFLUENCE.png")
KIAA0513
Statistics of KIAA0513 meta-analisys
kable(sig.genes.df['KIAA0513',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| KIAA0513 | -0.117 | -0.083 | -0.049 | 0 | 2.608 | 0.456 | 0.017 | 0 | 0 | 1 | 0.002 |
Forest plot
knitr::include_graphics("plots/KIAA0513_FOREST.png")
Funnel plot
knitr::include_graphics("plots/KIAA0513_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/KIAA0513_INFLUENCE.png")
LOC91561
Statistics of LOC91561 meta-analisys
kable(sig.genes.df['LOC91561',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| LOC91561 | 0.024 | 0.042 | 0.059 | 0 | 0.573 | 0.751 | 0.009 | 0 | 0 | 1 | 0.002 |
Forest plot
knitr::include_graphics("plots/LOC91561_FOREST.png")
Funnel plot
knitr::include_graphics("plots/LOC91561_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/LOC91561_INFLUENCE.png")
NOMO1
Statistics of NOMO1 meta-analisys
kable(sig.genes.df['NOMO1',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| NOMO1 | -0.125 | -0.089 | -0.052 | 0 | 0.776 | 0.678 | 0.019 | 0 | 0 | 1 | 0.002 |
Forest plot
knitr::include_graphics("plots/NOMO1_FOREST.png")
Funnel plot
knitr::include_graphics("plots/NOMO1_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/NOMO1_INFLUENCE.png")
FH
Statistics of FH meta-analisys
kable(sig.genes.df['FH',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| FH | -0.079 | -0.055 | -0.031 | 0 | 2.52 | 0.472 | 0.012 | 0 | 0 | 1 | 0.004 |
Forest plot
knitr::include_graphics("plots/FH_FOREST.png")
Funnel plot
knitr::include_graphics("plots/FH_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/FH_INFLUENCE.png")
LOC400566
Statistics of LOC400566 meta-analisys
kable(sig.genes.df['LOC400566',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| LOC400566 | -0.183 | -0.128 | -0.073 | 0 | 0.974 | 0.614 | 0.028 | 0 | 0 | 1 | 0.004 |
Forest plot
knitr::include_graphics("plots/LOC400566_FOREST.png")
Funnel plot
knitr::include_graphics("plots/LOC400566_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/LOC400566_INFLUENCE.png")
SLC29A1
Statistics of SLC29A1 meta-analisys
kable(sig.genes.df['SLC29A1',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| SLC29A1 | -0.172 | -0.12 | -0.068 | 0 | 0.85 | 0.837 | 0.026 | 0 | 0 | 1 | 0.004 |
Forest plot
knitr::include_graphics("plots/SLC29A1_FOREST.png")
Funnel plot
knitr::include_graphics("plots/SLC29A1_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/SLC29A1_INFLUENCE.png")
TMED1
Statistics of TMED1 meta-analisys
kable(sig.genes.df['TMED1',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| TMED1 | 0.033 | 0.057 | 0.082 | 0 | 0.861 | 0.65 | 0.012 | 0 | 0 | 1 | 0.004 |
Forest plot
knitr::include_graphics("plots/TMED1_FOREST.png")
Funnel plot
knitr::include_graphics("plots/TMED1_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/TMED1_INFLUENCE.png")
FLJ13305
Statistics of FLJ13305 meta-analisys
kable(sig.genes.df['FLJ13305',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| FLJ13305 | 0.046 | 0.082 | 0.119 | 0 | 0.662 | 0.718 | 0.019 | 0 | 0 | 1 | 0.005 |
Forest plot
knitr::include_graphics("plots/FLJ13305_FOREST.png")
Funnel plot
knitr::include_graphics("plots/FLJ13305_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/FLJ13305_INFLUENCE.png")
PEA15
Statistics of PEA15 meta-analisys
kable(sig.genes.df['PEA15',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| PEA15 | 0.027 | 0.048 | 0.069 | 0 | 0.209 | 0.976 | 0.011 | 0 | 0 | 1 | 0.005 |
Forest plot
knitr::include_graphics("plots/PEA15_FOREST.png")
Funnel plot
knitr::include_graphics("plots/PEA15_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/PEA15_INFLUENCE.png")
SPARCL1
Statistics of SPARCL1 meta-analisys
kable(sig.genes.df['SPARCL1',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| SPARCL1 | -0.049 | -0.034 | -0.019 | 0 | 2.405 | 0.493 | 0.008 | 0 | 0 | 1 | 0.005 |
Forest plot
knitr::include_graphics("plots/SPARCL1_FOREST.png")
Funnel plot
knitr::include_graphics("plots/SPARCL1_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/SPARCL1_INFLUENCE.png")
TMEM25
Statistics of TMEM25 meta-analisys
kable(sig.genes.df['TMEM25',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| TMEM25 | -0.333 | -0.231 | -0.129 | 0 | 0.109 | 0.991 | 0.052 | 0 | 0 | 1 | 0.005 |
Forest plot
knitr::include_graphics("plots/TMEM25_FOREST.png")
Funnel plot
knitr::include_graphics("plots/TMEM25_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/TMEM25_INFLUENCE.png")
TSPAN14
Statistics of TSPAN14 meta-analisys
kable(sig.genes.df['TSPAN14',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| TSPAN14 | 0.045 | 0.081 | 0.117 | 0 | 1.355 | 0.716 | 0.018 | 0 | 0 | 1 | 0.005 |
Forest plot
knitr::include_graphics("plots/TSPAN14_FOREST.png")
Funnel plot
knitr::include_graphics("plots/TSPAN14_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/TSPAN14_INFLUENCE.png")
ZFR
Statistics of ZFR meta-analisys
kable(sig.genes.df['ZFR',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| ZFR | 0.029 | 0.052 | 0.074 | 0 | 2.312 | 0.51 | 0.012 | 0 | 0 | 1 | 0.005 |
Forest plot
knitr::include_graphics("plots/ZFR_FOREST.png")
Funnel plot
knitr::include_graphics("plots/ZFR_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/ZFR_INFLUENCE.png")
RPL23AP7
Statistics of RPL23AP7 meta-analisys
kable(sig.genes.df['RPL23AP7',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| RPL23AP7 | 0.046 | 0.083 | 0.12 | 0 | 1.037 | 0.595 | 0.019 | 0 | 0 | 1 | 0.006 |
Forest plot
knitr::include_graphics("plots/RPL23AP7_FOREST.png")
Funnel plot
knitr::include_graphics("plots/RPL23AP7_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/RPL23AP7_INFLUENCE.png")
PIB5PA
Statistics of PIB5PA meta-analisys
kable(sig.genes.df['PIB5PA',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| PIB5PA | -0.151 | -0.104 | -0.057 | 0 | 0.345 | 0.841 | 0.024 | 0 | 0 | 1 | 0.007 |
Forest plot
knitr::include_graphics("plots/PIB5PA_FOREST.png")
Funnel plot
knitr::include_graphics("plots/PIB5PA_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/PIB5PA_INFLUENCE.png")
TCEA3
Statistics of TCEA3 meta-analisys
kable(sig.genes.df['TCEA3',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| TCEA3 | 0.078 | 0.143 | 0.208 | 0 | 0.932 | 0.818 | 0.033 | 0 | 0 | 1 | 0.008 |
Forest plot
knitr::include_graphics("plots/TCEA3_FOREST.png")
Funnel plot
knitr::include_graphics("plots/TCEA3_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/TCEA3_INFLUENCE.png")
DFFA
Statistics of DFFA meta-analisys
kable(sig.genes.df['DFFA',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| DFFA | 0.059 | 0.109 | 0.16 | 0 | 1.707 | 0.635 | 0.026 | 0 | 0 | 1 | 0.009 |
Forest plot
knitr::include_graphics("plots/DFFA_FOREST.png")
Funnel plot
knitr::include_graphics("plots/DFFA_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/DFFA_INFLUENCE.png")
TSPAN33
Statistics of TSPAN33 meta-analisys
kable(sig.genes.df['TSPAN33',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| TSPAN33 | 0.045 | 0.084 | 0.122 | 0 | 1.968 | 0.579 | 0.02 | 0 | 0 | 1 | 0.009 |
Forest plot
knitr::include_graphics("plots/TSPAN33_FOREST.png")
Funnel plot
knitr::include_graphics("plots/TSPAN33_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/TSPAN33_INFLUENCE.png")
BSCL2
Statistics of BSCL2 meta-analisys
kable(sig.genes.df['BSCL2',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| BSCL2 | -0.064 | -0.043 | -0.023 | 0 | 0.443 | 0.931 | 0.01 | 0 | 0 | 1 | 0.011 |
Forest plot
knitr::include_graphics("plots/BSCL2_FOREST.png")
Funnel plot
knitr::include_graphics("plots/BSCL2_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/BSCL2_INFLUENCE.png")
CIRH1A
Statistics of CIRH1A meta-analisys
kable(sig.genes.df['CIRH1A',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| CIRH1A | -0.095 | -0.065 | -0.034 | 0 | 1.259 | 0.533 | 0.015 | 0 | 0 | 1 | 0.011 |
Forest plot
knitr::include_graphics("plots/CIRH1A_FOREST.png")
Funnel plot
knitr::include_graphics("plots/CIRH1A_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/CIRH1A_INFLUENCE.png")
CPLX1
Statistics of CPLX1 meta-analisys
kable(sig.genes.df['CPLX1',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| CPLX1 | -0.15 | -0.102 | -0.054 | 0 | 0.982 | 0.612 | 0.025 | 0 | 0 | 1 | 0.012 |
Forest plot
knitr::include_graphics("plots/CPLX1_FOREST.png")
Funnel plot
knitr::include_graphics("plots/CPLX1_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/CPLX1_INFLUENCE.png")
CTGF
Statistics of CTGF meta-analisys
kable(sig.genes.df['CTGF',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| CTGF | -0.3 | -0.204 | -0.108 | 0 | 0.46 | 0.795 | 0.049 | 0 | 0 | 1 | 0.012 |
Forest plot
knitr::include_graphics("plots/CTGF_FOREST.png")
Funnel plot
knitr::include_graphics("plots/CTGF_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/CTGF_INFLUENCE.png")
ISOC2
Statistics of ISOC2 meta-analisys
kable(sig.genes.df['ISOC2',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| ISOC2 | 0.038 | 0.073 | 0.108 | 0 | 0.617 | 0.735 | 0.018 | 0 | 0 | 1 | 0.013 |
Forest plot
knitr::include_graphics("plots/ISOC2_FOREST.png")
Funnel plot
knitr::include_graphics("plots/ISOC2_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/ISOC2_INFLUENCE.png")
PGBD1
Statistics of PGBD1 meta-analisys
kable(sig.genes.df['PGBD1',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| PGBD1 | -0.097 | -0.066 | -0.034 | 0 | 2.908 | 0.406 | 0.016 | 0 | 0 | 1 | 0.013 |
Forest plot
knitr::include_graphics("plots/PGBD1_FOREST.png")
Funnel plot
knitr::include_graphics("plots/PGBD1_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/PGBD1_INFLUENCE.png")
PHKG2
Statistics of PHKG2 meta-analisys
kable(sig.genes.df['PHKG2',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| PHKG2 | -0.084 | -0.057 | -0.03 | 0 | 2.833 | 0.418 | 0.014 | 0 | 0 | 1 | 0.013 |
Forest plot
knitr::include_graphics("plots/PHKG2_FOREST.png")
Funnel plot
knitr::include_graphics("plots/PHKG2_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/PHKG2_INFLUENCE.png")
RYBP
Statistics of RYBP meta-analisys
kable(sig.genes.df['RYBP',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| RYBP | 0.055 | 0.105 | 0.155 | 0 | 0.627 | 0.89 | 0.026 | 0 | 0 | 1 | 0.013 |
Forest plot
knitr::include_graphics("plots/RYBP_FOREST.png")
Funnel plot
knitr::include_graphics("plots/RYBP_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/RYBP_INFLUENCE.png")
SERTAD4
Statistics of SERTAD4 meta-analisys
kable(sig.genes.df['SERTAD4',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| SERTAD4 | -0.226 | -0.153 | -0.08 | 0 | 0.296 | 0.961 | 0.037 | 0 | 0 | 1 | 0.013 |
Forest plot
knitr::include_graphics("plots/SERTAD4_FOREST.png")
Funnel plot
knitr::include_graphics("plots/SERTAD4_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/SERTAD4_INFLUENCE.png")
USP46
Statistics of USP46 meta-analisys
kable(sig.genes.df['USP46',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| USP46 | 0.032 | 0.062 | 0.092 | 0 | 0.589 | 0.745 | 0.015 | 0 | 0 | 1 | 0.013 |
Forest plot
knitr::include_graphics("plots/USP46_FOREST.png")
Funnel plot
knitr::include_graphics("plots/USP46_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/USP46_INFLUENCE.png")
CENTG2
Statistics of CENTG2 meta-analisys
kable(sig.genes.df['CENTG2',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| CENTG2 | 0.024 | 0.047 | 0.07 | 0 | 0.102 | 0.95 | 0.012 | 0 | 0 | 1 | 0.014 |
Forest plot
knitr::include_graphics("plots/CENTG2_FOREST.png")
Funnel plot
knitr::include_graphics("plots/CENTG2_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/CENTG2_INFLUENCE.png")
DENND2A
Statistics of DENND2A meta-analisys
kable(sig.genes.df['DENND2A',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| DENND2A | 0.046 | 0.089 | 0.132 | 0 | 2.359 | 0.501 | 0.022 | 0 | 0 | 1 | 0.014 |
Forest plot
knitr::include_graphics("plots/DENND2A_FOREST.png")
Funnel plot
knitr::include_graphics("plots/DENND2A_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/DENND2A_INFLUENCE.png")
PELI3
Statistics of PELI3 meta-analisys
kable(sig.genes.df['PELI3',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| PELI3 | -0.117 | -0.079 | -0.04 | 0 | 1.902 | 0.593 | 0.019 | 0 | 0 | 1 | 0.014 |
Forest plot
knitr::include_graphics("plots/PELI3_FOREST.png")
Funnel plot
knitr::include_graphics("plots/PELI3_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/PELI3_INFLUENCE.png")
ZNF179
Statistics of ZNF179 meta-analisys
kable(sig.genes.df['ZNF179',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| ZNF179 | -0.106 | -0.071 | -0.037 | 0 | 0.266 | 0.875 | 0.018 | 0 | 0 | 1 | 0.014 |
Forest plot
knitr::include_graphics("plots/ZNF179_FOREST.png")
Funnel plot
knitr::include_graphics("plots/ZNF179_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/ZNF179_INFLUENCE.png")
ACTR1B
Statistics of ACTR1B meta-analisys
kable(sig.genes.df['ACTR1B',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| ACTR1B | -0.113 | -0.076 | -0.039 | 0 | 0.875 | 0.831 | 0.019 | 0 | 0 | 1 | 0.015 |
Forest plot
knitr::include_graphics("plots/ACTR1B_FOREST.png")
Funnel plot
knitr::include_graphics("plots/ACTR1B_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/ACTR1B_INFLUENCE.png")
VHL
Statistics of VHL meta-analisys
kable(sig.genes.df['VHL',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| VHL | 0.037 | 0.072 | 0.107 | 0 | 0.757 | 0.86 | 0.018 | 0 | 0 | 1 | 0.015 |
Forest plot
knitr::include_graphics("plots/VHL_FOREST.png")
Funnel plot
knitr::include_graphics("plots/VHL_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/VHL_INFLUENCE.png")
IQSEC1
Statistics of IQSEC1 meta-analisys
kable(sig.genes.df['IQSEC1',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| IQSEC1 | -0.092 | -0.062 | -0.031 | 0 | 1.981 | 0.576 | 0.016 | 0 | 0 | 1 | 0.016 |
Forest plot
knitr::include_graphics("plots/IQSEC1_FOREST.png")
Funnel plot
knitr::include_graphics("plots/IQSEC1_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/IQSEC1_INFLUENCE.png")
KLC2
Statistics of KLC2 meta-analisys
kable(sig.genes.df['KLC2',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| KLC2 | -0.124 | -0.083 | -0.042 | 0 | 1.964 | 0.58 | 0.021 | 0 | 0 | 1 | 0.016 |
Forest plot
knitr::include_graphics("plots/KLC2_FOREST.png")
Funnel plot
knitr::include_graphics("plots/KLC2_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/KLC2_INFLUENCE.png")
PRC1
Statistics of PRC1 meta-analisys
kable(sig.genes.df['PRC1',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| PRC1 | -0.127 | -0.085 | -0.043 | 0 | 2.442 | 0.486 | 0.022 | 0 | 0 | 1 | 0.016 |
Forest plot
knitr::include_graphics("plots/PRC1_FOREST.png")
Funnel plot
knitr::include_graphics("plots/PRC1_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/PRC1_INFLUENCE.png")
PUS7
Statistics of PUS7 meta-analisys
kable(sig.genes.df['PUS7',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| PUS7 | -0.096 | -0.064 | -0.033 | 0 | 0.332 | 0.954 | 0.016 | 0 | 0 | 1 | 0.016 |
Forest plot
knitr::include_graphics("plots/PUS7_FOREST.png")
Funnel plot
knitr::include_graphics("plots/PUS7_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/PUS7_INFLUENCE.png")
RNMT
Statistics of RNMT meta-analisys
kable(sig.genes.df['RNMT',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| RNMT | -0.073 | -0.049 | -0.025 | 0 | 0.599 | 0.741 | 0.012 | 0 | 0 | 1 | 0.016 |
Forest plot
knitr::include_graphics("plots/RNMT_FOREST.png")
Funnel plot
knitr::include_graphics("plots/RNMT_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/RNMT_INFLUENCE.png")
COQ10A
Statistics of COQ10A meta-analisys
kable(sig.genes.df['COQ10A',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| COQ10A | -0.085 | -0.057 | -0.029 | 0 | 0.898 | 0.638 | 0.014 | 0 | 0 | 1 | 0.017 |
Forest plot
knitr::include_graphics("plots/COQ10A_FOREST.png")
Funnel plot
knitr::include_graphics("plots/COQ10A_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/COQ10A_INFLUENCE.png")
MGC2747
Statistics of MGC2747 meta-analisys
kable(sig.genes.df['MGC2747',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| MGC2747 | 0.023 | 0.046 | 0.069 | 0 | 1.252 | 0.535 | 0.012 | 0 | 0 | 1 | 0.017 |
Forest plot
knitr::include_graphics("plots/MGC2747_FOREST.png")
Funnel plot
knitr::include_graphics("plots/MGC2747_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/MGC2747_INFLUENCE.png")
C1orf171
Statistics of C1orf171 meta-analisys
kable(sig.genes.df['C1orf171',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| C1orf171 | 0.068 | 0.137 | 0.206 | 0 | 0.166 | 0.92 | 0.035 | 0 | 0 | 1 | 0.018 |
Forest plot
knitr::include_graphics("plots/C1orf171_FOREST.png")
Funnel plot
knitr::include_graphics("plots/C1orf171_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/C1orf171_INFLUENCE.png")
C6orf136
Statistics of C6orf136 meta-analisys
kable(sig.genes.df['C6orf136',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| C6orf136 | -0.075 | -0.05 | -0.025 | 0 | 0.567 | 0.753 | 0.013 | 0 | 0 | 1 | 0.018 |
Forest plot
knitr::include_graphics("plots/C6orf136_FOREST.png")
Funnel plot
knitr::include_graphics("plots/C6orf136_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/C6orf136_INFLUENCE.png")
Kua
Statistics of Kua meta-analisys
kable(sig.genes.df['Kua',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Kua | 0.033 | 0.066 | 0.099 | 0 | 0.491 | 0.782 | 0.017 | 0 | 0 | 1 | 0.018 |
Forest plot
knitr::include_graphics("plots/Kua_FOREST.png")
Funnel plot
knitr::include_graphics("plots/Kua_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/Kua_INFLUENCE.png")
RPL31
Statistics of RPL31 meta-analisys
kable(sig.genes.df['RPL31',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| RPL31 | 0.028 | 0.057 | 0.086 | 0 | 0.591 | 0.899 | 0.015 | 0 | 0 | 1 | 0.018 |
Forest plot
knitr::include_graphics("plots/RPL31_FOREST.png")
Funnel plot
knitr::include_graphics("plots/RPL31_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/RPL31_INFLUENCE.png")
SLA
Statistics of SLA meta-analisys
kable(sig.genes.df['SLA',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| SLA | 0.041 | 0.082 | 0.123 | 0 | 0.614 | 0.893 | 0.021 | 0 | 0 | 1 | 0.018 |
Forest plot
knitr::include_graphics("plots/SLA_FOREST.png")
Funnel plot
knitr::include_graphics("plots/SLA_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/SLA_INFLUENCE.png")
ZNF271
Statistics of ZNF271 meta-analisys
kable(sig.genes.df['ZNF271',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| ZNF271 | 0.026 | 0.052 | 0.078 | 0 | 0.811 | 0.666 | 0.013 | 0 | 0 | 1 | 0.018 |
Forest plot
knitr::include_graphics("plots/ZNF271_FOREST.png")
Funnel plot
knitr::include_graphics("plots/ZNF271_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/ZNF271_INFLUENCE.png")
AIFM1
Statistics of AIFM1 meta-analisys
kable(sig.genes.df['AIFM1',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| AIFM1 | -0.078 | -0.052 | -0.025 | 0 | 1.076 | 0.783 | 0.014 | 0 | 0 | 1 | 0.021 |
Forest plot
knitr::include_graphics("plots/AIFM1_FOREST.png")
Funnel plot
knitr::include_graphics("plots/AIFM1_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/AIFM1_INFLUENCE.png")
CNTNAP1
Statistics of CNTNAP1 meta-analisys
kable(sig.genes.df['CNTNAP1',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| CNTNAP1 | -0.11 | -0.073 | -0.036 | 0 | 0.065 | 0.968 | 0.019 | 0 | 0 | 1 | 0.021 |
Forest plot
knitr::include_graphics("plots/CNTNAP1_FOREST.png")
Funnel plot
knitr::include_graphics("plots/CNTNAP1_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/CNTNAP1_INFLUENCE.png")
NDEL1
Statistics of NDEL1 meta-analisys
kable(sig.genes.df['NDEL1',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| NDEL1 | -0.104 | -0.069 | -0.034 | 0 | 1.986 | 0.575 | 0.018 | 0 | 0 | 1 | 0.021 |
Forest plot
knitr::include_graphics("plots/NDEL1_FOREST.png")
Funnel plot
knitr::include_graphics("plots/NDEL1_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/NDEL1_INFLUENCE.png")
PTD004
Statistics of PTD004 meta-analisys
kable(sig.genes.df['PTD004',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| PTD004 | -0.197 | -0.13 | -0.064 | 0 | 1.935 | 0.38 | 0.034 | 0 | 0 | 1 | 0.021 |
Forest plot
knitr::include_graphics("plots/PTD004_FOREST.png")
Funnel plot
knitr::include_graphics("plots/PTD004_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/PTD004_INFLUENCE.png")
SLC20A1
Statistics of SLC20A1 meta-analisys
kable(sig.genes.df['SLC20A1',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| SLC20A1 | -0.126 | -0.083 | -0.041 | 0 | 1.03 | 0.794 | 0.022 | 0 | 0 | 1 | 0.021 |
Forest plot
knitr::include_graphics("plots/SLC20A1_FOREST.png")
Funnel plot
knitr::include_graphics("plots/SLC20A1_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/SLC20A1_INFLUENCE.png")
XRCC1
Statistics of XRCC1 meta-analisys
kable(sig.genes.df['XRCC1',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| XRCC1 | -0.089 | -0.059 | -0.029 | 0 | 0.452 | 0.929 | 0.015 | 0 | 0 | 1 | 0.021 |
Forest plot
knitr::include_graphics("plots/XRCC1_FOREST.png")
Funnel plot
knitr::include_graphics("plots/XRCC1_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/XRCC1_INFLUENCE.png")
CABP1
Statistics of CABP1 meta-analisys
kable(sig.genes.df['CABP1',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| CABP1 | -0.166 | -0.11 | -0.053 | 0 | 0.287 | 0.962 | 0.029 | 0 | 0 | 1 | 0.022 |
Forest plot
knitr::include_graphics("plots/CABP1_FOREST.png")
Funnel plot
knitr::include_graphics("plots/CABP1_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/CABP1_INFLUENCE.png")
CGI-115
Statistics of CGI-115 meta-analisys
kable(sig.genes.df['CGI-115',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| CGI-115 | 0.032 | 0.067 | 0.101 | 0 | 0.241 | 0.887 | 0.018 | 0 | 0 | 1 | 0.022 |
Forest plot
knitr::include_graphics("plots/CGI_115_FOREST.png")
Funnel plot
knitr::include_graphics("plots/CGI_115_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/CGI_115_INFLUENCE.png")
HIST2H2BE
Statistics of HIST2H2BE meta-analisys
kable(sig.genes.df['HIST2H2BE',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| HIST2H2BE | 0.058 | 0.12 | 0.182 | 0 | 0.502 | 0.778 | 0.032 | 0 | 0 | 1 | 0.022 |
Forest plot
knitr::include_graphics("plots/HIST2H2BE_FOREST.png")
Funnel plot
knitr::include_graphics("plots/HIST2H2BE_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/HIST2H2BE_INFLUENCE.png")
PHF16
Statistics of PHF16 meta-analisys
kable(sig.genes.df['PHF16',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| PHF16 | 0.036 | 0.074 | 0.112 | 0 | 0.292 | 0.864 | 0.019 | 0 | 0 | 1 | 0.022 |
Forest plot
knitr::include_graphics("plots/PHF16_FOREST.png")
Funnel plot
knitr::include_graphics("plots/PHF16_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/PHF16_INFLUENCE.png")
PPME1
Statistics of PPME1 meta-analisys
kable(sig.genes.df['PPME1',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| PPME1 | -0.096 | -0.063 | -0.03 | 0 | 1.02 | 0.796 | 0.017 | 0 | 0 | 1 | 0.024 |
Forest plot
knitr::include_graphics("plots/PPME1_FOREST.png")
Funnel plot
knitr::include_graphics("plots/PPME1_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/PPME1_INFLUENCE.png")
SLC25A27
Statistics of SLC25A27 meta-analisys
kable(sig.genes.df['SLC25A27',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| SLC25A27 | -0.18 | -0.118 | -0.057 | 0 | 1.252 | 0.741 | 0.031 | 0 | 0 | 1 | 0.024 |
Forest plot
knitr::include_graphics("plots/SLC25A27_FOREST.png")
Funnel plot
knitr::include_graphics("plots/SLC25A27_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/SLC25A27_INFLUENCE.png")
AGPAT7
Statistics of AGPAT7 meta-analisys
kable(sig.genes.df['AGPAT7',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| AGPAT7 | -0.15 | -0.099 | -0.047 | 0 | 0.33 | 0.848 | 0.026 | 0 | 0 | 1 | 0.025 |
Forest plot
knitr::include_graphics("plots/AGPAT7_FOREST.png")
Funnel plot
knitr::include_graphics("plots/AGPAT7_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/AGPAT7_INFLUENCE.png")
IDH3A
Statistics of IDH3A meta-analisys
kable(sig.genes.df['IDH3A',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| IDH3A | -0.106 | -0.07 | -0.033 | 0 | 0.902 | 0.825 | 0.019 | 0 | 0 | 1 | 0.025 |
Forest plot
knitr::include_graphics("plots/IDH3A_FOREST.png")
Funnel plot
knitr::include_graphics("plots/IDH3A_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/IDH3A_INFLUENCE.png")
IDH3G
Statistics of IDH3G meta-analisys
kable(sig.genes.df['IDH3G',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| IDH3G | -0.086 | -0.057 | -0.027 | 0 | 1.429 | 0.699 | 0.015 | 0 | 0 | 1 | 0.025 |
Forest plot
knitr::include_graphics("plots/IDH3G_FOREST.png")
Funnel plot
knitr::include_graphics("plots/IDH3G_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/IDH3G_INFLUENCE.png")
NAG6
Statistics of NAG6 meta-analisys
kable(sig.genes.df['NAG6',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| NAG6 | -0.104 | -0.068 | -0.033 | 0 | 1.431 | 0.489 | 0.018 | 0 | 0 | 1 | 0.025 |
Forest plot
knitr::include_graphics("plots/NAG6_FOREST.png")
Funnel plot
knitr::include_graphics("plots/NAG6_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/NAG6_INFLUENCE.png")
OGDHL
Statistics of OGDHL meta-analisys
kable(sig.genes.df['OGDHL',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| OGDHL | -0.113 | -0.074 | -0.035 | 0 | 0.247 | 0.884 | 0.02 | 0 | 0 | 1 | 0.025 |
Forest plot
knitr::include_graphics("plots/OGDHL_FOREST.png")
Funnel plot
knitr::include_graphics("plots/OGDHL_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/OGDHL_INFLUENCE.png")
SC5DL
Statistics of SC5DL meta-analisys
kable(sig.genes.df['SC5DL',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| SC5DL | -0.107 | -0.071 | -0.034 | 0 | 1.262 | 0.532 | 0.019 | 0 | 0 | 1 | 0.025 |
Forest plot
knitr::include_graphics("plots/SC5DL_FOREST.png")
Funnel plot
knitr::include_graphics("plots/SC5DL_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/SC5DL_INFLUENCE.png")
SLC6A17
Statistics of SLC6A17 meta-analisys
kable(sig.genes.df['SLC6A17',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| SLC6A17 | -0.133 | -0.087 | -0.041 | 0 | 1.66 | 0.646 | 0.023 | 0 | 0 | 1 | 0.026 |
Forest plot
knitr::include_graphics("plots/SLC6A17_FOREST.png")
Funnel plot
knitr::include_graphics("plots/SLC6A17_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/SLC6A17_INFLUENCE.png")
C5orf21
Statistics of C5orf21 meta-analisys
kable(sig.genes.df['C5orf21',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| C5orf21 | 0.019 | 0.04 | 0.061 | 0 | 0.61 | 0.737 | 0.011 | 0 | 0 | 1 | 0.028 |
Forest plot
knitr::include_graphics("plots/C5orf21_FOREST.png")
Funnel plot
knitr::include_graphics("plots/C5orf21_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/C5orf21_INFLUENCE.png")
CFDP1
Statistics of CFDP1 meta-analisys
kable(sig.genes.df['CFDP1',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| CFDP1 | 0.027 | 0.058 | 0.089 | 0 | 0.527 | 0.913 | 0.016 | 0 | 0 | 1 | 0.028 |
Forest plot
knitr::include_graphics("plots/CFDP1_FOREST.png")
Funnel plot
knitr::include_graphics("plots/CFDP1_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/CFDP1_INFLUENCE.png")
DSCR1L1
Statistics of DSCR1L1 meta-analisys
kable(sig.genes.df['DSCR1L1',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| DSCR1L1 | -0.115 | -0.075 | -0.035 | 0 | 1.488 | 0.475 | 0.02 | 0 | 0 | 1 | 0.028 |
Forest plot
knitr::include_graphics("plots/DSCR1L1_FOREST.png")
Funnel plot
knitr::include_graphics("plots/DSCR1L1_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/DSCR1L1_INFLUENCE.png")
ZNF331
Statistics of ZNF331 meta-analisys
kable(sig.genes.df['ZNF331',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| ZNF331 | -0.09 | -0.059 | -0.027 | 0 | 3.219 | 0.359 | 0.016 | 0 | 6.792 | 1.073 | 0.028 |
Forest plot
knitr::include_graphics("plots/ZNF331_FOREST.png")
Funnel plot
knitr::include_graphics("plots/ZNF331_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/ZNF331_INFLUENCE.png")
NDUFB8
Statistics of NDUFB8 meta-analisys
kable(sig.genes.df['NDUFB8',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| NDUFB8 | -0.041 | -0.027 | -0.012 | 0 | 1.765 | 0.623 | 0.007 | 0 | 0 | 1 | 0.03 |
Forest plot
knitr::include_graphics("plots/NDUFB8_FOREST.png")
Funnel plot
knitr::include_graphics("plots/NDUFB8_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/NDUFB8_INFLUENCE.png")
PKNOX2
Statistics of PKNOX2 meta-analisys
kable(sig.genes.df['PKNOX2',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| PKNOX2 | -0.092 | -0.06 | -0.028 | 0 | 1.465 | 0.69 | 0.016 | 0 | 0 | 1 | 0.03 |
Forest plot
knitr::include_graphics("plots/PKNOX2_FOREST.png")
Funnel plot
knitr::include_graphics("plots/PKNOX2_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/PKNOX2_INFLUENCE.png")
PLXDC2
Statistics of PLXDC2 meta-analisys
kable(sig.genes.df['PLXDC2',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| PLXDC2 | 0.055 | 0.118 | 0.18 | 0 | 1.661 | 0.436 | 0.032 | 0 | 0 | 1 | 0.03 |
Forest plot
knitr::include_graphics("plots/PLXDC2_FOREST.png")
Funnel plot
knitr::include_graphics("plots/PLXDC2_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/PLXDC2_INFLUENCE.png")
SCAMP5
Statistics of SCAMP5 meta-analisys
kable(sig.genes.df['SCAMP5',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| SCAMP5 | -0.082 | -0.053 | -0.025 | 0 | 1.113 | 0.774 | 0.015 | 0 | 0 | 1 | 0.03 |
Forest plot
knitr::include_graphics("plots/SCAMP5_FOREST.png")
Funnel plot
knitr::include_graphics("plots/SCAMP5_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/SCAMP5_INFLUENCE.png")
SLC25A29
Statistics of SLC25A29 meta-analisys
kable(sig.genes.df['SLC25A29',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| SLC25A29 | 0.041 | 0.089 | 0.136 | 0 | 1.234 | 0.539 | 0.024 | 0 | 0 | 1 | 0.03 |
Forest plot
knitr::include_graphics("plots/SLC25A29_FOREST.png")
Funnel plot
knitr::include_graphics("plots/SLC25A29_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/SLC25A29_INFLUENCE.png")
C3orf39
Statistics of C3orf39 meta-analisys
kable(sig.genes.df['C3orf39',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| C3orf39 | -0.093 | -0.061 | -0.028 | 0 | 0.11 | 0.946 | 0.017 | 0 | 0 | 1 | 0.031 |
Forest plot
knitr::include_graphics("plots/C3orf39_FOREST.png")
Funnel plot
knitr::include_graphics("plots/C3orf39_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/C3orf39_INFLUENCE.png")
C5orf16
Statistics of C5orf16 meta-analisys
kable(sig.genes.df['C5orf16',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| C5orf16 | -0.22 | -0.143 | -0.066 | 0 | 1.505 | 0.471 | 0.039 | 0 | 0 | 1 | 0.031 |
Forest plot
knitr::include_graphics("plots/C5orf16_FOREST.png")
Funnel plot
knitr::include_graphics("plots/C5orf16_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/C5orf16_INFLUENCE.png")
CALR
Statistics of CALR meta-analisys
kable(sig.genes.df['CALR',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| CALR | 0.031 | 0.068 | 0.104 | 0 | 1.006 | 0.8 | 0.019 | 0 | 0 | 1 | 0.031 |
Forest plot
knitr::include_graphics("plots/CALR_FOREST.png")
Funnel plot
knitr::include_graphics("plots/CALR_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/CALR_INFLUENCE.png")
FAM51A1
Statistics of FAM51A1 meta-analisys
kable(sig.genes.df['FAM51A1',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| FAM51A1 | 0.026 | 0.057 | 0.089 | 0 | 1.942 | 0.379 | 0.016 | 0 | 0 | 1 | 0.031 |
Forest plot
knitr::include_graphics("plots/FAM51A1_FOREST.png")
Funnel plot
knitr::include_graphics("plots/FAM51A1_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/FAM51A1_INFLUENCE.png")
MGC33692
Statistics of MGC33692 meta-analisys
kable(sig.genes.df['MGC33692',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| MGC33692 | -0.079 | -0.052 | -0.024 | 0 | 0.059 | 0.971 | 0.014 | 0 | 0 | 1 | 0.031 |
Forest plot
knitr::include_graphics("plots/MGC33692_FOREST.png")
Funnel plot
knitr::include_graphics("plots/MGC33692_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/MGC33692_INFLUENCE.png")
NAP1L5
Statistics of NAP1L5 meta-analisys
kable(sig.genes.df['NAP1L5',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| NAP1L5 | -0.176 | -0.114 | -0.053 | 0 | 1.199 | 0.753 | 0.031 | 0 | 0 | 1 | 0.031 |
Forest plot
knitr::include_graphics("plots/NAP1L5_FOREST.png")
Funnel plot
knitr::include_graphics("plots/NAP1L5_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/NAP1L5_INFLUENCE.png")
DHDDS
Statistics of DHDDS meta-analisys
kable(sig.genes.df['DHDDS',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| DHDDS | -0.092 | -0.059 | -0.027 | 0 | 1.654 | 0.647 | 0.016 | 0 | 0 | 1 | 0.032 |
Forest plot
knitr::include_graphics("plots/DHDDS_FOREST.png")
Funnel plot
knitr::include_graphics("plots/DHDDS_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/DHDDS_INFLUENCE.png")
FLJ22318
Statistics of FLJ22318 meta-analisys
kable(sig.genes.df['FLJ22318',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| FLJ22318 | -0.097 | -0.063 | -0.029 | 0 | 2.651 | 0.266 | 0.017 | 0 | 24.566 | 1.326 | 0.032 |
Forest plot
knitr::include_graphics("plots/FLJ22318_FOREST.png")
Funnel plot
knitr::include_graphics("plots/FLJ22318_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/FLJ22318_INFLUENCE.png")
GALE
Statistics of GALE meta-analisys
kable(sig.genes.df['GALE',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| GALE | -0.077 | -0.05 | -0.023 | 0 | 1.647 | 0.649 | 0.014 | 0 | 0 | 1 | 0.032 |
Forest plot
knitr::include_graphics("plots/GALE_FOREST.png")
Funnel plot
knitr::include_graphics("plots/GALE_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/GALE_INFLUENCE.png")
HIST1H2BD
Statistics of HIST1H2BD meta-analisys
kable(sig.genes.df['HIST1H2BD',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| HIST1H2BD | 0.032 | 0.069 | 0.107 | 0 | 0.91 | 0.634 | 0.019 | 0 | 0 | 1 | 0.032 |
Forest plot
knitr::include_graphics("plots/HIST1H2BD_FOREST.png")
Funnel plot
knitr::include_graphics("plots/HIST1H2BD_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/HIST1H2BD_INFLUENCE.png")
SENP2
Statistics of SENP2 meta-analisys
kable(sig.genes.df['SENP2',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| SENP2 | -0.074 | -0.048 | -0.022 | 0 | 0.552 | 0.907 | 0.013 | 0 | 0 | 1 | 0.032 |
Forest plot
knitr::include_graphics("plots/SENP2_FOREST.png")
Funnel plot
knitr::include_graphics("plots/SENP2_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/SENP2_INFLUENCE.png")
CPLX2
Statistics of CPLX2 meta-analisys
kable(sig.genes.df['CPLX2',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| CPLX2 | -0.207 | -0.134 | -0.061 | 0 | 0.509 | 0.917 | 0.037 | 0 | 0 | 1 | 0.033 |
Forest plot
knitr::include_graphics("plots/CPLX2_FOREST.png")
Funnel plot
knitr::include_graphics("plots/CPLX2_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/CPLX2_INFLUENCE.png")
CTBP1
Statistics of CTBP1 meta-analisys
kable(sig.genes.df['CTBP1',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| CTBP1 | -0.072 | -0.047 | -0.021 | 0 | 2.751 | 0.432 | 0.013 | 0 | 0 | 1 | 0.033 |
Forest plot
knitr::include_graphics("plots/CTBP1_FOREST.png")
Funnel plot
knitr::include_graphics("plots/CTBP1_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/CTBP1_INFLUENCE.png")
CYP2E1
Statistics of CYP2E1 meta-analisys
kable(sig.genes.df['CYP2E1',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| CYP2E1 | -0.184 | -0.119 | -0.054 | 0 | 0.179 | 0.981 | 0.033 | 0 | 0 | 1 | 0.033 |
Forest plot
knitr::include_graphics("plots/CYP2E1_FOREST.png")
Funnel plot
knitr::include_graphics("plots/CYP2E1_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/CYP2E1_INFLUENCE.png")
ENTPD6
Statistics of ENTPD6 meta-analisys
kable(sig.genes.df['ENTPD6',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| ENTPD6 | -0.105 | -0.068 | -0.031 | 0 | 0.179 | 0.981 | 0.019 | 0 | 0 | 1 | 0.033 |
Forest plot
knitr::include_graphics("plots/ENTPD6_FOREST.png")
Funnel plot
knitr::include_graphics("plots/ENTPD6_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/ENTPD6_INFLUENCE.png")
PSMD2
Statistics of PSMD2 meta-analisys
kable(sig.genes.df['PSMD2',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| PSMD2 | -0.06 | -0.039 | -0.018 | 0 | 0.849 | 0.838 | 0.011 | 0 | 0 | 1 | 0.033 |
Forest plot
knitr::include_graphics("plots/PSMD2_FOREST.png")
Funnel plot
knitr::include_graphics("plots/PSMD2_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/PSMD2_INFLUENCE.png")
WDR40A
Statistics of WDR40A meta-analisys
kable(sig.genes.df['WDR40A',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| WDR40A | 0.029 | 0.065 | 0.101 | 0 | 0.649 | 0.723 | 0.018 | 0 | 0 | 1 | 0.034 |
Forest plot
knitr::include_graphics("plots/WDR40A_FOREST.png")
Funnel plot
knitr::include_graphics("plots/WDR40A_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/WDR40A_INFLUENCE.png")
CAMK2G
Statistics of CAMK2G meta-analisys
kable(sig.genes.df['CAMK2G',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| CAMK2G | -0.117 | -0.076 | -0.034 | 0 | 1.513 | 0.469 | 0.021 | 0 | 0 | 1 | 0.035 |
Forest plot
knitr::include_graphics("plots/CAMK2G_FOREST.png")
Funnel plot
knitr::include_graphics("plots/CAMK2G_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/CAMK2G_INFLUENCE.png")
CCBL2
Statistics of CCBL2 meta-analisys
kable(sig.genes.df['CCBL2',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| CCBL2 | -0.228 | -0.147 | -0.066 | 0 | 1.418 | 0.492 | 0.041 | 0 | 0 | 1 | 0.035 |
Forest plot
knitr::include_graphics("plots/CCBL2_FOREST.png")
Funnel plot
knitr::include_graphics("plots/CCBL2_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/CCBL2_INFLUENCE.png")
PREX1
Statistics of PREX1 meta-analisys
kable(sig.genes.df['PREX1',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| PREX1 | 0.043 | 0.095 | 0.148 | 0 | 0.85 | 0.838 | 0.027 | 0 | 0 | 1 | 0.035 |
Forest plot
knitr::include_graphics("plots/PREX1_FOREST.png")
Funnel plot
knitr::include_graphics("plots/PREX1_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/PREX1_INFLUENCE.png")
ANKRD32
Statistics of ANKRD32 meta-analisys
kable(sig.genes.df['ANKRD32',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| ANKRD32 | 0.061 | 0.136 | 0.212 | 0 | 0.35 | 0.84 | 0.039 | 0 | 0 | 1 | 0.039 |
Forest plot
knitr::include_graphics("plots/ANKRD32_FOREST.png")
Funnel plot
knitr::include_graphics("plots/ANKRD32_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/ANKRD32_INFLUENCE.png")
SLC25A3
Statistics of SLC25A3 meta-analisys
kable(sig.genes.df['SLC25A3',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| SLC25A3 | -0.051 | -0.033 | -0.015 | 0 | 0.357 | 0.949 | 0.009 | 0 | 0 | 1 | 0.039 |
Forest plot
knitr::include_graphics("plots/SLC25A3_FOREST.png")
Funnel plot
knitr::include_graphics("plots/SLC25A3_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/SLC25A3_INFLUENCE.png")
C9orf45
Statistics of C9orf45 meta-analisys
kable(sig.genes.df['C9orf45',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| C9orf45 | -0.113 | -0.072 | -0.032 | 0 | 0.336 | 0.845 | 0.021 | 0 | 0 | 1 | 0.04 |
Forest plot
knitr::include_graphics("plots/C9orf45_FOREST.png")
Funnel plot
knitr::include_graphics("plots/C9orf45_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/C9orf45_INFLUENCE.png")
AHI1
Statistics of AHI1 meta-analisys
kable(sig.genes.df['AHI1',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| AHI1 | -0.113 | -0.073 | -0.032 | 0 | 0.079 | 0.961 | 0.021 | 0 | 0 | 1 | 0.041 |
Forest plot
knitr::include_graphics("plots/AHI1_FOREST.png")
Funnel plot
knitr::include_graphics("plots/AHI1_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/AHI1_INFLUENCE.png")
PNMA6A
Statistics of PNMA6A meta-analisys
kable(sig.genes.df['PNMA6A',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| PNMA6A | -0.104 | -0.066 | -0.029 | 0 | 2.525 | 0.471 | 0.019 | 0 | 0 | 1 | 0.041 |
Forest plot
knitr::include_graphics("plots/PNMA6A_FOREST.png")
Funnel plot
knitr::include_graphics("plots/PNMA6A_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/PNMA6A_INFLUENCE.png")
CCT4
Statistics of CCT4 meta-analisys
kable(sig.genes.df['CCT4',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| CCT4 | 0.02 | 0.045 | 0.071 | 0.001 | 1.129 | 0.77 | 0.013 | 0 | 0 | 1 | 0.045 |
Forest plot
knitr::include_graphics("plots/CCT4_FOREST.png")
Funnel plot
knitr::include_graphics("plots/CCT4_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/CCT4_INFLUENCE.png")
ETS2
Statistics of ETS2 meta-analisys
kable(sig.genes.df['ETS2',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| ETS2 | -0.152 | -0.097 | -0.042 | 0.001 | 0.227 | 0.973 | 0.028 | 0 | 0 | 1 | 0.045 |
Forest plot
knitr::include_graphics("plots/ETS2_FOREST.png")
Funnel plot
knitr::include_graphics("plots/ETS2_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/ETS2_INFLUENCE.png")
HEBP1
Statistics of HEBP1 meta-analisys
kable(sig.genes.df['HEBP1',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| HEBP1 | 0.023 | 0.052 | 0.082 | 0.001 | 2.714 | 0.257 | 0.015 | 0 | 26.311 | 1.357 | 0.045 |
Forest plot
knitr::include_graphics("plots/HEBP1_FOREST.png")
Funnel plot
knitr::include_graphics("plots/HEBP1_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/HEBP1_INFLUENCE.png")
HIST1H2BK
Statistics of HIST1H2BK meta-analisys
kable(sig.genes.df['HIST1H2BK',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| HIST1H2BK | 0.045 | 0.104 | 0.163 | 0.001 | 1.103 | 0.576 | 0.03 | 0 | 0 | 1 | 0.045 |
Forest plot
knitr::include_graphics("plots/HIST1H2BK_FOREST.png")
Funnel plot
knitr::include_graphics("plots/HIST1H2BK_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/HIST1H2BK_INFLUENCE.png")
NPAS3
Statistics of NPAS3 meta-analisys
kable(sig.genes.df['NPAS3',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| NPAS3 | 0.04 | 0.093 | 0.145 | 0.001 | 1.353 | 0.508 | 0.027 | 0 | 0 | 1 | 0.045 |
Forest plot
knitr::include_graphics("plots/NPAS3_FOREST.png")
Funnel plot
knitr::include_graphics("plots/NPAS3_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/NPAS3_INFLUENCE.png")
PIGV
Statistics of PIGV meta-analisys
kable(sig.genes.df['PIGV',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| PIGV | 0.026 | 0.06 | 0.094 | 0.001 | 2.134 | 0.344 | 0.017 | 0 | 6.279 | 1.067 | 0.045 |
Forest plot
knitr::include_graphics("plots/PIGV_FOREST.png")
Funnel plot
knitr::include_graphics("plots/PIGV_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/PIGV_INFLUENCE.png")
SOX4
Statistics of SOX4 meta-analisys
kable(sig.genes.df['SOX4',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| SOX4 | 0.037 | 0.085 | 0.134 | 0.001 | 0.207 | 0.976 | 0.025 | 0 | 0 | 1 | 0.045 |
Forest plot
knitr::include_graphics("plots/SOX4_FOREST.png")
Funnel plot
knitr::include_graphics("plots/SOX4_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/SOX4_INFLUENCE.png")
TARBP1
Statistics of TARBP1 meta-analisys
kable(sig.genes.df['TARBP1',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| TARBP1 | -0.156 | -0.1 | -0.043 | 0.001 | 0.354 | 0.95 | 0.029 | 0 | 0 | 1 | 0.045 |
Forest plot
knitr::include_graphics("plots/TARBP1_FOREST.png")
Funnel plot
knitr::include_graphics("plots/TARBP1_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/TARBP1_INFLUENCE.png")
AARSD1
Statistics of AARSD1 meta-analisys
kable(sig.genes.df['AARSD1',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| AARSD1 | -0.066 | -0.042 | -0.018 | 0.001 | 1.44 | 0.487 | 0.012 | 0 | 0 | 1 | 0.046 |
Forest plot
knitr::include_graphics("plots/AARSD1_FOREST.png")
Funnel plot
knitr::include_graphics("plots/AARSD1_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/AARSD1_INFLUENCE.png")
GANAB
Statistics of GANAB meta-analisys
kable(sig.genes.df['GANAB',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| GANAB | 0.029 | 0.067 | 0.105 | 0.001 | 0.47 | 0.926 | 0.019 | 0 | 0 | 1 | 0.046 |
Forest plot
knitr::include_graphics("plots/GANAB_FOREST.png")
Funnel plot
knitr::include_graphics("plots/GANAB_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/GANAB_INFLUENCE.png")
PSMF1
Statistics of PSMF1 meta-analisys
kable(sig.genes.df['PSMF1',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| PSMF1 | 0.02 | 0.047 | 0.074 | 0.001 | 1.75 | 0.417 | 0.014 | 0 | 0 | 1 | 0.046 |
Forest plot
knitr::include_graphics("plots/PSMF1_FOREST.png")
Funnel plot
knitr::include_graphics("plots/PSMF1_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/PSMF1_INFLUENCE.png")
DPP8
Statistics of DPP8 meta-analisys
kable(sig.genes.df['DPP8',1:11])| lower_bound | logFC | upper_bound | pvalue | QE | QEp | SE | tau2 | I2 | H2 | p.adjust.fdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| DPP8 | -0.093 | -0.059 | -0.026 | 0.001 | 2.161 | 0.339 | 0.017 | 0 | 7.455 | 1.081 | 0.048 |
Forest plot
knitr::include_graphics("plots/DPP8_FOREST.png")
Funnel plot
knitr::include_graphics("plots/DPP8_FUNNEL.png")
Incluence plot
knitr::include_graphics("plots/DPP8_INFLUENCE.png")
sessionInfo
date()## [1] "Wed Apr 17 20:36:27 2024"sessionInfo()## R version 4.3.2 (2023-10-31 ucrt)
## Platform: x86_64-w64-mingw32/x64 (64-bit)
## Running under: Windows 11 x64 (build 22631)
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## Matrix products: default
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## locale:
## [1] LC_COLLATE=Spanish_Spain.utf8 LC_CTYPE=Spanish_Spain.utf8 LC_MONETARY=Spanish_Spain.utf8
## [4] LC_NUMERIC=C LC_TIME=Spanish_Spain.utf8
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## time zone: Europe/Madrid
## tzcode source: internal
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## attached base packages:
## [1] stats graphics grDevices utils datasets methods base
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## other attached packages:
## [1] knitr_1.45 dplyr_1.1.4 limma_3.56.2 stringr_1.5.1 metafor_4.4-0
## [6] numDeriv_2016.8-1.1 metadat_1.2-0 Matrix_1.6-5 Biobase_2.60.0 BiocGenerics_0.48.1
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## loaded via a namespace (and not attached):
## [1] DBI_1.2.2 bitops_1.0-7 rlang_1.1.3
## [4] magrittr_2.0.3 matrixStats_1.2.0 compiler_4.3.2
## [7] RSQLite_2.3.5 DelayedMatrixStats_1.24.0 png_0.1-8
## [10] vctrs_0.6.5 reshape2_1.4.4 pkgconfig_2.0.3
## [13] crayon_1.5.2 fastmap_1.1.1 XVector_0.40.0
## [16] utf8_1.2.4 rmarkdown_2.25 bit_4.0.5
## [19] xfun_0.42 zlibbioc_1.46.0 cachem_1.0.8
## [22] beachmat_2.18.0 jsonlite_1.8.8 GenomeInfoDb_1.38.2
## [25] blob_1.2.4 highr_0.10 DelayedArray_0.28.0
## [28] BiocParallel_1.36.0 irlba_2.3.5.1 parallel_4.3.2
## [31] R6_2.5.1 bslib_0.6.1 stringi_1.8.3
## [34] RColorBrewer_1.1-3 jquerylib_0.1.4 GenomicRanges_1.54.1
## [37] Rcpp_1.0.12 SummarizedExperiment_1.32.0 IRanges_2.34.1
## [40] tidyselect_1.2.0 yaml_2.3.8 rstudioapi_0.15.0
## [43] abind_1.4-5 codetools_0.2-19 lattice_0.21-9
## [46] tibble_3.2.1 plyr_1.8.9 KEGGREST_1.42.0
## [49] evaluate_0.23 Biostrings_2.68.1 pillar_1.9.0
## [52] MatrixGenerics_1.14.0 DT_0.32 stats4_4.3.2
## [55] generics_0.1.3 mathjaxr_1.6-0 RCurl_1.98-1.14
## [58] S4Vectors_0.38.2 ggplot2_3.4.4 sparseMatrixStats_1.14.0
## [61] munsell_0.5.0 scales_1.3.0 xtable_1.8-4
## [64] glue_1.7.0 tools_4.3.2 ScaledMatrix_1.10.0
## [67] annotate_1.80.0 locfit_1.5-9.8 XML_3.99-0.16.1
## [70] cowplot_1.1.3 grid_4.3.2 AnnotationDbi_1.64.1
## [73] edgeR_4.0.1 colorspace_2.1-0 nlme_3.1-164
## [76] GenomeInfoDbData_1.2.11 BiocSingular_1.18.0 cli_3.6.1
## [79] rsvd_1.0.5 fansi_1.0.6 S4Arrays_1.2.0
## [82] ggdendro_0.1.23 gtable_0.3.4 sass_0.4.8
## [85] DESeq2_1.42.0 digest_0.6.34 SparseArray_1.2.1
## [88] ggrepel_0.9.5 dqrng_0.3.2 geneplotter_1.80.0
## [91] htmlwidgets_1.6.4 memoise_2.0.1 htmltools_0.5.7
## [94] lifecycle_1.0.4 httr_1.4.7 PCAtools_2.14.0
## [97] bit64_4.0.5 MASS_7.3-60